Air Force Maintenance Product Owner (Remote)
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Job Description
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The goal of the project is to sustain and expand the fielded Airframe-Sustainment forecasting and AI data analytics product. The work includes:
- Automating vendor-data intake,
- Improving data sharing and auditability,
- Adding structural and tail-level maintenance analysis,
- Extending fleet-readiness planning, and
- Enhancing cost and funding-allocation tools.
Additional responsibilities involve:
- Providing system maintenance,
- User training,
- Technical assistance, and
- Cybersecurity support.
Requirements
- Must be able to work on site at Warner Robins, GA.
- US Citizenship required with the ability to pass and maintain a DoD Security clearance.
- Minimum Bachelor's degree required.
- Must have hands-on knowledge of how information flows through IMDS, AutoTAR, ASIP datasets during business processes for USAF aircraft maintenance and sustainment.
- Must be able to use that business understanding to define best workflows and identify value propositions for a maintenance domain user of an Air Force sustainment forecasting application.
Why This Role Matters
Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
Growth-Oriented Environment — Learn from technical leaders, innovate within Agentic AI, and mentor those around you in AI best practices.
Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.
Please join us, as together we build a better world one mission at a time powered by Technology and its People!
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Credence
View Company ProfileCredence is a premier, enterprise-grade national security AI services company, defense technology contractor, and intelligence infrastructure architect engineered to operate as the definitive procedural and operational layer for the U.S. Department of Defense (DoD), intelligence communities, and federal civilian agencies. The firm completely eliminates the severe systemic friction of modern military and government operations—where commanders and defense analysts face fragmented multi-INT data networks, manual multilingual translation bottlenecks, crushing contract compliance backlogs, and severe deployment delays in air-gapped environments—by deploying an open, high-concurrency Agentic AI platform. Moving far beyond traditional, slow-moving consulting frameworks or rigid, closed-source software platforms, Credence natively unifies automated target recognition pipelines, predictive fleet and asset readiness telemetry, high-velocity natural language multi-INT translation systems operating at over 50,000 words per minute, and secure multi-agent autonomous collaboration stacks. Deployed today across classification tiers from Impact Level 2 through Impact Level 6 (IL-2 to IL-6) with full Authority to Operate (ATO), the company equips over 1 million scaled users to process millions of transactions, automatically flag procurement fraud, and secure cross-domain Zero Trust data exchanges with production-hardened 99.99% uptime. Under the hood, its sophisticated technical core—built upon an AI Software Factory model—natively orchestrates vendor-agnostic large language model interoperability, plug-and-play Model Context Protocol (MCP) tooling arrays, and air-gapped data sovereign layers that guarantee clients maintain absolute ownership of their code, models, and data. What sets Credence apart is its uncompromising dedication to replacing bureaucratic stagnation with absolute mission velocity; by bridging the gap between performance-intensive commercial technology and strict federal security guidelines, the veteran-heavy institution drives over $150 million in annual government cost savings and accelerates tactical national security workflows worldwide.
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